The retail world is constantly evolving, and in this fast-paced environment, understanding your customer is more important than ever. It’s no longer just about making a sale; it’s about creating a journey that turns casual shoppers into loyal customers. With the rise of advanced retail data tools, businesses can now dig deep into customer preferences and behaviors […]
Data Product vs. Data as a Product (DaaP): Understanding the Difference
Data quality (DQ), which ensures that data is fit for business and consumer needs, remains a significant challenge and is growing more complex. According to a dbt Labs 2024 report, 57% of survey respondents identified data quality as a challenging aspect to data preparation, up from 41% in 2022. To address these data quality challenges, companies increasingly […]
Achieving Cost-Efficient Observability in Cloud-Native Environments
Cloud-native environments have become the cornerstone of modern technology innovation. From nimble startups to tech giants, companies are adopting cloud-native architectures, drawn by the promise of scalability, flexibility, and rapid deployment. However, this power comes with increased complexity – and a pressing need for observability. The Observability Imperative Operating a cloud-native system without proper observability […]
Zero Emissions Day: How Data Centers Are Pioneering the Path to a Carbon-Free Future
In this ever-changing world, responsible management of our limited resources is increasingly important. It’s no secret that data centers consume a lot of power, but there are multiple ways in which data center operators reduce their energy consumption and optimize their power utilization. Aside from tracking energy consumption, energy intensity and PUE, many have even […]
Building an Enterprise Data Strategy: What, Why, How
No matter how good you feel about the reliability of your company’s data operations, you can’t help wondering on occasion what the chances are that your firm will be one of the victims of the next data outage, malware scourge, or cyberattack. This is especially the case if your job entails ensuring the availability of your organization’s […]
The Journey to Sustainability: How PIM Helps Brands Get Their Data in Order
In today’s economy, sustainability is no longer a buzzword but a business imperative. From clothing to dog food, cleaning supplies to packaging, buyers increasingly seek brands and manufacturers that prioritize transparent and environmentally responsible business practices. They want to know where the products they buy are sourced from, the carbon footprint of production, how recyclable […]
Beyond the “IT Guy” Stereotype: How Technology Leaders Drive Business Success
Traditionally, IT departments have been viewed as support functions primarily responsible for maintaining hardware, troubleshooting software issues, and ensuring basic connectivity. IT leaders are often treated like technical experts running a cost center, relegated to a dim back office and only emerging when summoned to address a problem. But that couldn’t be further from the […]
Women in Data: Meet Enterprise Data Architecture Manager Shannon Hughes
The latest installment in our Q&A series with women leaders in data features Shannon Hughes, enterprise data architecture manager at ExxonMobil’s Central Data Office. (Read our previous Q&A here.) Shannon Hughes became fascinated with data and technology as a kid, inspired by her dad – a technical data analyst for the U.S. Air Force. She now […]
It’s Not the Tools, It’s the Culture: How to Roll Out Data Democratization
You want to implement data democratization, so you deployed all the new tooling and data infrastructure. You have a data catalog to manage metadata and ensure data lineage and a data marketplace to enable data discovery and self-service analytics. You’ve invested in the latest technologies to enable full self-service operation. The data management architecture you […]
What Is a Data Fabric?
Data fabric is an innovative approach to data architecture, and simplifies data management. At its core, data fabric is built on the principle of unification. This standardization serves two purposes: It creates a single-entry point for data consumers, and it enables seamless access to information, regardless of where that data is stored, computed, or administered. These outcomes happen through data […]